Through my work in micrography and timelapse photography, I have used many types of image analysis methods. These include ones for quantification/cell counting, identification of tags, deconvolution, that are used in conjunction with software such as ImageJ/FIJI or packaged with microscopes, or that I have written myself in Matlab or Python.
Image Credit: Sunanda Sharma
I am very interested in applying tools from machine learning to analyze visual data and recognize patterns that can be tied to composition and conditions over time.
Image Credit: Christoph Bader
For this reason, I have begun to learn more about computer vision, CNNs, and platforms such as OpenCV which I have been able to use across projects for a range of purposes.
Image Credit: Sunanda Sharma
Better understanding of how parameters effect chemical reaction products and rates, for instance, could yield a variety of optimizations - for specific product formation, for heterogeneity, or for a particular aesthetic effect.
Image Credit: Sunanda Sharma